1 | % * This code was used in the following articles:
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2 | % * [1] Learning 3-D Scene Structure from a Single Still Image,
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3 | % * Ashutosh Saxena, Min Sun, Andrew Y. Ng,
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4 | % * In ICCV workshop on 3D Representation for Recognition (3dRR-07), 2007.
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5 | % * (best paper)
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6 | % * [2] 3-D Reconstruction from Sparse Views using Monocular Vision,
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7 | % * Ashutosh Saxena, Min Sun, Andrew Y. Ng,
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8 | % * In ICCV workshop on Virtual Representations and Modeling
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9 | % * of Large-scale environments (VRML), 2007.
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10 | % * [3] 3-D Depth Reconstruction from a Single Still Image,
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11 | % * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng.
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12 | % * International Journal of Computer Vision (IJCV), Aug 2007.
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13 | % * [6] Learning Depth from Single Monocular Images,
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14 | % * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng.
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15 | % * In Neural Information Processing Systems (NIPS) 18, 2005.
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16 | % *
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17 | % * These articles are available at:
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18 | % * http://make3d.stanford.edu/publications
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19 | % *
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20 | % * We request that you cite the papers [1], [3] and [6] in any of
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21 | % * your reports that uses this code.
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22 | % * Further, if you use the code in image3dstiching/ (multiple image version),
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23 | % * then please cite [2].
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24 | % *
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25 | % * If you use the code in third_party/, then PLEASE CITE and follow the
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26 | % * LICENSE OF THE CORRESPONDING THIRD PARTY CODE.
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27 | % *
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28 | % * Finally, this code is for non-commercial use only. For further
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29 | % * information and to obtain a copy of the license, see
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30 | % *
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31 | % * http://make3d.stanford.edu/publications/code
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32 | % *
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33 | % * Also, the software distributed under the License is distributed on an
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34 | % * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
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35 | % * express or implied. See the License for the specific language governing
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36 | % * permissions and limitations under the License.
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37 | % *
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38 | % */
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39 | function bndryFeat=checkIfALineCrosses(seglist,x,y) |
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40 | |
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41 | % This function called by findBoundaryFeaturesMore |
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42 | % written by Rajiv |
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43 | |
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44 | x3=seglist(:,1); |
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45 | y3=seglist(:,2); |
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46 | x4=seglist(:,3); |
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47 | y4=seglist(:,4); |
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48 | |
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49 | bndryFeat=logical(0); |
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50 | |
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51 | if ((x(2)-x(1))~=0) |
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52 | m1 = (y(2)-y(1))/(x(2)-x(1)); |
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53 | c1 = y(1)-m1*x(1); |
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54 | chk1=(((y3-m1*x3-c1).*(y4-m1*x4-c1))<0); |
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55 | else |
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56 | chk1=((x3-x(1)).*(x4-x(1))<0); |
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57 | end |
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58 | |
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59 | vertChk=abs((x4-x3)); |
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60 | vertLines=find(vertChk==0); |
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61 | nonVertLines=find(vertChk~=0); |
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62 | |
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63 | x3v=seglist(vertLines,1); |
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64 | y3v=seglist(vertLines,2); |
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65 | x4v=seglist(vertLines,3); |
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66 | y4v=seglist(vertLines,4); |
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67 | |
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68 | x3nv=seglist(nonVertLines,1); |
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69 | y3nv=seglist(nonVertLines,2); |
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70 | x4nv=seglist(nonVertLines,3); |
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71 | y4nv=seglist(nonVertLines,4); |
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72 | |
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73 | m2 = (y4nv-y3nv)./(x4nv-x3nv); |
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74 | c2 = y3nv-m2.*x3nv; |
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75 | chk2(nonVertLines,1)=(((y(1)-m2*x(1)-c2).*(y(2)-m2*x(2)-c2))<0); |
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76 | chk2(vertLines,1)=((x(1)-x3v).*(x(2)-x3v)<0); |
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77 | |
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78 | if (sum(chk1 & chk2)) |
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79 | bndryFeat=logical(1); |
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80 | end |
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